| 书目名称 | The Newton-Cauchy Framework |
| 副标题 | A Unified Approach t |
| 编辑 | J. L. Nazareth |
| 视频video | |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | Computational unconstrained nonlinear optimization comes tolife from a study of the interplay between the metric-based(Cauchy) and model-based(Newton) points of view. Themotivating problem is that of minimizing a convex quadraticfunction. This research monograph reveals for the firsttimethe essential unity of the subject. It explores therelationshipsbetween the main methods, develops theNewton-Cauchy framework and points out its rich wealth ofalgorithmic implications and basic conceptualmethods. Themonograph also makes a valueable contribution to unifyingthe notation and terminology of the subject. It is addressedtopractitioners, researchers, instructors, and students andprovides a useful and refreshing new perspective oncomputational nonlinear optimization. |
| 出版日期 | Book 1994 |
| 关键词 | Gradient Method; Gradientenverfahren; Mathematical Programming; Mathematisches Programmieren; Motivation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-57671-1 |
| isbn_softcover | 978-3-540-57671-6 |
| isbn_ebook | 978-3-540-48310-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 1994 |
发表于 2025-3-21 17:05:15
